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Course Outline
Azure OpenAI Foundations for Enterprise Context
- Overview of Azure OpenAI and its role within the Azure ecosystem
- Key enterprise use cases for generative AI
- Essential models, capabilities, and architectural patterns
Initializing Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment settings
- Navigating the playground and selecting appropriate API options
- Submitting prompts and analyzing resulting responses
Prompt Engineering for Business Use
- Formulating clear instructions and structured prompts
- Leveraging roles, examples, and output formatting techniques
- Enhancing consistency for tasks such as summarization, question answering, and content creation
Developing and Integrating AI Capabilities
- Embedding chat, summarization, and content assistance features into applications
- Interacting with Azure OpenAI from application backends and services
- Designing user workflows that deliver tangible business value
Integrating AI with Enterprise Data
- Comprehending retrieval-augmented generation in a practical context
- Utilizing Azure AI Search alongside Azure OpenAI
- Anchoring AI responses with verified business content
Security, Responsible AI, and Operations
- Managing access control, data protection, and deployment strategies
- Implementing content safety measures, human oversight, and responsible AI guidelines
- Monitoring usage, output quality, and costs in production environments
Practical Application Workshop and Conclusion
- Constructing a straightforward enterprise AI application scenario
- Validating prompts, data grounding, and output accuracy
- Evaluating implementation steps for pilot and production deployment
Requirements
- A solid understanding of fundamental cloud and web application concepts
- Experience with Azure services, REST APIs, or application integration patterns
- Foundational programming skills
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
7 Hours
